Discover Spoon Consulting tips and acuality on the Elastic Search tools, use cases and implementation.
As we saw in part 1, we can use boolean queries to influence scoring and boost the relevance of your searches. But it soon becomes very verbose and some kind of queries can be quite complicated to write. Multi-match comes to help you write more concise search Queries. TL:DR Terms can be reused to “boost” better results – in part 1 Filter can be used to scope a query without influencing the score – in part 1 Mix Must/Should/Filter in one Elasticsearch…
Read MoreIn the previous articles about scoring, and boolean queries Spoon Consulting saw how the scoring of Elasticsearch works by default and how to tweak your query to influence it. In the article below, we will study how we can add different weights to different fields, and the different “boost” behaviors. TL:DR Terms can be reused to “boost” better results – in part 1 Filter can be used to scope a query without influencing the score – in part 1 Mix…
Read MoreIn the previous article about scoring, Spoon Consulting saw how the scoring of Elasticsearch works by default. Now let’s see how you can leverage your results to map your use cases. TL:DR Terms can be reused to “boost” better results – in part 1 Filter can be used to scope a query without influencing the score – in part 1 Mix Must/Should/Filter in one Elasticsearch boolean query give a lot of flexibility – in part 1 Boosts give weight on…
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